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BBN: description of the PLUM system as used for MUC-3

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Jeff PalmucciAuthors Info & Claims

MUC3 '91: Proceedings of the 3rd conference on Message understanding

Pages 137 - 143

https://doi.org/10.3115/1071958.1071982

Published: 21 May 1991 Publication History

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Abstract

Traditional approaches to the problem of extracting data from texts have emphasized handcrafted linguistic knowledge. In contrast, BBN's PLUM system (Probabilistic Language Understanding Model) was developed as part of a DARPA-funded research effort on integrating probabilistic language models with more traditional linguistic techniques. Our research and development goals are• more rapid development of new applications,• the ability to train (and re-train) systems based on user markings of correct and incorrect output,• more accurate selection among interpretations when more than one is found, and• more robust partial interpretation when no complete interpretation can be found.

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Cited By

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Turmo JAgeno ACatalà N(2006)Adaptive information extractionACM Computing Surveys10.1145/1132956.113295738:2(4-es)Online publication date: 25-Jul-2006
https://dl.acm.org/doi/10.1145/1132956.1132957
Andersen PHuettner A(1994)Knowledge Engineering for the JASPER Fact Extraction SystemIntegrated Computer-Aided Engineering10.5555/2639158.26391601:6(473-493)Online publication date: 1-Jan-1994
https://dl.acm.org/doi/10.5555/2639158.2639160
Aberdeen JBurger JConnolly DRoberts SVilain M(1992)MITRE-BedfordProceedings of the 4th conference on Message understanding10.3115/1072064.1072097(215-222)Online publication date: 16-Jun-1992
https://dl.acm.org/doi/10.3115/1072064.1072097

BBN: description of the PLUM system as used for MUC-3
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

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MUC3 '91: Proceedings of the 3rd conference on Message understanding

May 1991

357 pages

ISBN:1558602364

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Association for Computational Linguistics

United States

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Published: 21 May 1991

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Turmo JAgeno ACatalà N(2006)Adaptive information extractionACM Computing Surveys10.1145/1132956.113295738:2(4-es)Online publication date: 25-Jul-2006
https://dl.acm.org/doi/10.1145/1132956.1132957
Andersen PHuettner A(1994)Knowledge Engineering for the JASPER Fact Extraction SystemIntegrated Computer-Aided Engineering10.5555/2639158.26391601:6(473-493)Online publication date: 1-Jan-1994
https://dl.acm.org/doi/10.5555/2639158.2639160
Aberdeen JBurger JConnolly DRoberts SVilain M(1992)MITRE-BedfordProceedings of the 4th conference on Message understanding10.3115/1072064.1072097(215-222)Online publication date: 16-Jun-1992
https://dl.acm.org/doi/10.3115/1072064.1072097

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